Apr 16, 2026

Episode 16: Building AI for Life Sciences

OpenAI research lead Joy Jiao and product lead Yunyun Wang detail the development of specialized AI models for the life sciences. They discuss the new biochemistry-focused model series designed to accelerate research in genomics and protein understanding, the critical challenge of managing biosecurity risks through a "differentiated access" model, and the future vision of AI-powered autonomous labs that could revolutionize drug discovery and personalized medicine.

Apr 16, 2026

Post‑Quantum Security: How Lattice Cryptography Keeps Data Safe

This video explains the imminent threat quantum computers pose to current cryptographic standards like RSA. It introduces lattice-based cryptography as a leading quantum-safe solution, using analogies to demystify how high-dimensional spaces and 'noise' create math problems that are intractable even for quantum machines. The summary provides a clear action plan for organizations, emphasizing the need for 'crypto-agility' and the urgency driven by the 'Harvest Now, Decrypt Later' attack strategy.

Apr 15, 2026

Paperclip: Open Source Human Control Plane for AI Labor — Dotta Bippa

Dotta, the creator of Paperclip, introduces it as an open-source orchestrator for building "zero-human companies." This talk demonstrates how to set up an organization of AI agents, leverage skills and custom instructions for reliable work, and automate business processes. Through a live demo, Dotta showcases creating a company from scratch, managing agent workflows with QA and routines, and outlines the exciting future roadmap for the platform.

Apr 15, 2026

Jensen Huang – Will Nvidia’s moat persist?

Nvidia CEO Jensen Huang discusses the company's core strategy, which he defines as transforming electrons into tokens by orchestrating a vast supply chain. He details how Nvidia's true moat lies in its ecosystem and its ability to manage supply bottlenecks. Huang contrasts Nvidia's versatile 'accelerated computing' platform with competitors like TPUs, arguing programmability via CUDA is key to AI innovation. He also presents a strong case against broad AI chip export controls on China, warning it could backfire by forcing the creation of a competing tech stack. Finally, he explains why Nvidia invests in the ecosystem rather than becoming a hyperscaler itself.

Apr 15, 2026

Why Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve

Wayve CEO Alex Kendall discusses their contrarian, AI-first approach to autonomous driving. He explains their journey from a garage prototype using reinforcement learning to developing a generalizable AI driver that has driven zero-shot in over 500 cities. Kendall emphasizes a strategy focused on licensing this embodied AI for mass-market consumer vehicles—a 100-million-unit-per-year opportunity—rather than building bespoke robotaxis, arguing that the future is an AI that can drive any car, anywhere.

Apr 15, 2026

From Renting Machines by the Hour to Renting Capabilities by the MSeconds • Dhaval Nagar • GOTO 2025

Dhaval Nagar chronicles the evolution of cloud economics from hourly-billed virtual machines a decade ago to the current 'capability economy.' The talk is structured in three acts, detailing the journey from the initial launch of AWS Lambda, through the maturation of the serverless ecosystem with frameworks and new platforms, to the present day where complex capabilities like AI models are consumed as millisecond-metered APIs. This shift demands a new developer mindset focused on composing services, event-driven architecture, and eliminating infrastructure management.